Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning–based analysis of multi-parametric magnetic resonance imaging
The proposed model demonstrates that mpMRI analysis using deep learning can predict infiltration in the peri-tumoral brain region for GBM patients without needing to train a model using expert ROI drawings. Results for each institution demonstrate the model's generalizability and reproducibility.
Authors
- Yuji Matsumoto (ORCID: https://orcid.org/0000-0001-8798-381X)
- Arnab Chakravarti (ORCID: https://orcid.org/0000-0002-5392-8721)
- Santiago Cepeda (ORCID: https://orcid.org/0000-0003-1667-8548)
- Adam E. Flanders (ORCID: https://orcid.org/0000-0002-4679-0787)
- Rajan Jain (ORCID: https://orcid.org/0000-0002-1979-044X)
- Mahmoud Shalaby (ORCID: https://orcid.org/0000-0002-6679-4881)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Joshua D. Palmer (ORCID: https://orcid.org/0000-0003-3311-0129)
- Adam P. Dicker (ORCID: https://orcid.org/0000-0003-0733-3337)
- Jill S. Barnholtz‐Sloan (ORCID: https://orcid.org/0000-0001-6190-9304)
- MacLean P. Nasrallah (ORCID: https://orcid.org/0000-0003-4861-0898)
- Wenyin Shi (ORCID: https://orcid.org/0000-0002-6336-3912)
- Chaitra Badve (ORCID: https://orcid.org/0000-0001-8547-8019)
- Chiharu Sako (ORCID: https://orcid.org/0000-0003-3243-3954)
- Donald M. O’Rourke (ORCID: https://orcid.org/0000-0002-8479-7314)
- Suyash Mohan (ORCID: https://orcid.org/0000-0002-4025-115X)
- Gaurav Shukla (ORCID: https://orcid.org/0000-0001-7094-9797)
- Hamed Akbari (ORCID: https://orcid.org/0000-0001-9786-3707)
- Graeme F. Woodworth (ORCID: https://orcid.org/0000-0001-9663-0768)
- Andrew E. Sloan (ORCID: https://orcid.org/0000-0001-9607-5063)
- Matthew Lee
- Fang Liu (ORCID: https://orcid.org/0000-0003-2922-4414)
- José García (ORCID: https://orcid.org/0009-0000-2703-0777)
- Yehuda Dicker
- Sunwoo Kwak
- Russel T. Shinohara
Institutions
- University of Maryland, Baltimore (US)
- Thomas Jefferson University (US)
- Santa Clara University (US)
- University Hospitals of Cleveland (US)
- The Ohio State University Wexner Medical Center (US)
- Sidney Kimmel Cancer Center (US)
- Mercy Catholic Medical Center (US)
- National Cancer Institute (US)
- University School (US)
- Piedmont HealthCare (US)
- Hospital Universitario Río Hortega (ES)
- Division of Cancer Epidemiology and Genetics
- New York University (US)
- Case Western Reserve University (US)
- Columbia University (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1117/1.jmi.11.5.054001
- Citations
- 11
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.45
Funders
- National Institutes of Health
- National Cancer Institute